library(plotly)
set.seed(100)
d <- diamonds[sample(nrow(diamonds), 1000), ]
p <- plot_ly(d, x = carat, y = price, text = paste("Clarity: ", clarity),
        mode = "markers", color = carat, size = carat)
p %>% offline

plot_ly(economics, x = date, y = uempmed) %>%
  add_trace(y = fitted(loess(uempmed ~ as.numeric(date)))) %>%
  layout(title = "Median duration of unemployment (in weeks)",
         showlegend = FALSE) %>%
  dplyr::filter(uempmed == max(uempmed)) %>%
  layout(annotations = list(x = date, y = uempmed, text = "Peak", showarrow = T)) %>%
  offline

Loops

for(i in 1:3) {
    fig <- list(data=list(list(x=rnorm(100), type="histogram")), layout=list(title=paste(c('plot', i, sep=" "))))
    cat(knit_print.offline(fig %>% offline))
}